Academic Journal of Engineering and Technology Science, 2024, 7(6); doi: 10.25236/AJETS.2024.070611.
Lei Wang1, Bo Li2, Shengyu Wang3, Tingting Wang4
1Department of Continuous Education, Chengdu Neusoft University, Chengdu, China
2Department of Intelligent Science and Engineering, Chengdu Neusoft University, Chengdu, China
3Chengdu Shude High School, Chengdu, China
4Department of Elementary Education, Chengdu Neusoft University, Chengdu, China
This study investigates the use of a multilayer perceptron (MLP) algorithm to analyze the pricing mechanism of Cup of Excellence (COE) coffee. By incorporating data such as sensory evaluation scores, auction prices, and external market variables, the MLP algorithm provides insights into the determinants of coffee prices. Experiments demonstrate that the proposed model significantly improves price prediction accuracy and reveals patterns linking quality metrics to pricing trends. This paper contributes to the understanding of coffee markets and proposes a data-driven approach for quality-driven price evaluation.
multilayer perceptron algorithm, COE coffee, machine learning
Lei Wang, Bo Li, Shengyu Wang, Tingting Wang. Multilayer Perceptron Algorithm for Analyzing and Predicting Cup of Excellence Coffee Pricing: A Data-Driven Approach. Academic Journal of Engineering and Technology Science (2024) Vol. 7, Issue 6: 75-79. https://doi.org/10.25236/AJETS.2024.070611.
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